面向大数据的新能源汽车复杂联盟云评价研究
|
摘要
联盟评价是联盟机制不可缺少的关键环节,大数据是联盟评价的重要战略资源,面向大数据的联盟评价是新能源汽车联盟的研究热点。本文中基于云模型理论,提出了一种面向大数据的新能源汽车复杂联盟云评价方法。首先面向大数据建立新能源汽车联盟的评价模型,并运用逆向云发生器和云综合运算生成联盟评价指标评价云;其次在确定联盟评价指标权重云和任务权重云的基础上,运用云运算规则分别产生单任务联盟评价云和多任务复杂联盟评价云,并针对复杂联盟备选方案进行云评价和选优;最后通过实例验证了该方法的有效性和合理性。
A big data-oriented cloud evaluation method for the complex alliance of new energy vehicles is proposed in this paper based on cloud model theory. First of all,the big data-oriented evaluation model for new energy vehicle alliance is established and the alliance evaluation indicator cloud is generated by using reverse cloud generator and comprehensive cloud calculation. Then,on the basis of determining the weighting clouds of the evaluation indicators and tasks for the alliance,the evaluation clouds of both single-task alliance and multi-task complex alliance are created respectively by applying cloud computing rules,and cloud evaluation and optimization are performed on the alternative schemes of the complex alliance. Finally,a real example is given to verify the effectiveness and rationality of the method proposed.
A big data-oriented cloud evaluation method for the complex alliance of new energy vehicles is proposed in this paper based on cloud model theory. First of all,the big data-oriented evaluation model for new energy vehicle alliance is established and the alliance evaluation indicator cloud is generated by using reverse cloud generator and comprehensive cloud calculation. Then,on the basis of determining the weighting clouds of the evaluation indicators and tasks for the alliance,the evaluation clouds of both single-task alliance and multi-task complex alliance are created respectively by applying cloud computing rules,and cloud evaluation and optimization are performed on the alternative schemes of the complex alliance. Finally,a real example is given to verify the effectiveness and rationality of the method proposed.
引文
[1]王静宇.中国新能源汽车产业联盟发展现状及技术创新模式研究[J].科技管理研究,2016(22):162-171.
[2] GRAHAM-ROEW D,GOLDSTON D,DOCTOROW C,et al. Big data:science in the petabyte era[J]. Nature,2008,455(7209):8-9.
[3]曹海蔑,吴志伟,余东安.现代科技服务业综合评价方法研究综述[J].北京化工大学学报,2016,95(2):33-39.
[4]阮娴静.新能源汽车技术经济综合评价及其发展策略研究[D].武汉:武汉理工大学,2012.
[5]李德毅,杜鹢.不确定性人工智能[M].北京:国防工业出版社,2005.
[6]杨静,李文平,张健沛.大数据典型相关分析的云模型方法[J].通信学报,2013,34(10):121-134.
[7]王守信,张莉,李鹤松.一种基于云模型的主观信任评价方法[J].软件学报,2010,21(6):1341-1352.
[8]柳炳祥,李海林,杨丽彬.云决策分析方法[J].控制与决策,2009,24(6):957-960.
[9]李德仁,王树良,李德毅.空间数据挖掘理论与应用[M].北京:科学出版社,2006.
[10]杜继永,张凤鸣,惠晓滨,等.改进型连续粒子群算法求解重叠联盟生成问题[J].上海交通大学学报,2013,47(12):1918-1923.
[11] ZHANG G F,JIANG J G,LU C H,et al. A revision algorithm for invalid encodings in concurrent formation of overlapping coalitions[J]. Applied Soft Computing,2011,11(2):2164-2172.
[12]桂海霞,蒋建国,张国富.面向并发多任务的重叠联盟效用分配策略[J].模式识别与人工智能,2016,29(4):332-340.
[13]刘常昱,冯芒,戴晓军,等.基于云X信息的逆向云新算法[J].系统仿真学报,2004,16(11):2417-2420.
[14] VOICE T,POLUKAROV M,JENNINGS N R. Coalition structure generation over graphs[J]. Journal of Artificial Intelligence Research,2012,45(1):165-196.
[15]田敬北,蒋建国,张国富,等.基于云概念语言的多任务模糊联盟形成[J].科学技术与工程,2014,14(26):249-254.
[16]马礼,郑纬民.信息网格环境下的综合信任度评价模型[J].清华大学学报(自然科学版),2009,49(4):599-603.
[17]夏登友,钱新明,康青春,等.基于云模型的应急决策方法[J].北京科技大学学报,2014,36(7):972-978.
[2] GRAHAM-ROEW D,GOLDSTON D,DOCTOROW C,et al. Big data:science in the petabyte era[J]. Nature,2008,455(7209):8-9.
[3]曹海蔑,吴志伟,余东安.现代科技服务业综合评价方法研究综述[J].北京化工大学学报,2016,95(2):33-39.
[4]阮娴静.新能源汽车技术经济综合评价及其发展策略研究[D].武汉:武汉理工大学,2012.
[5]李德毅,杜鹢.不确定性人工智能[M].北京:国防工业出版社,2005.
[6]杨静,李文平,张健沛.大数据典型相关分析的云模型方法[J].通信学报,2013,34(10):121-134.
[7]王守信,张莉,李鹤松.一种基于云模型的主观信任评价方法[J].软件学报,2010,21(6):1341-1352.
[8]柳炳祥,李海林,杨丽彬.云决策分析方法[J].控制与决策,2009,24(6):957-960.
[9]李德仁,王树良,李德毅.空间数据挖掘理论与应用[M].北京:科学出版社,2006.
[10]杜继永,张凤鸣,惠晓滨,等.改进型连续粒子群算法求解重叠联盟生成问题[J].上海交通大学学报,2013,47(12):1918-1923.
[11] ZHANG G F,JIANG J G,LU C H,et al. A revision algorithm for invalid encodings in concurrent formation of overlapping coalitions[J]. Applied Soft Computing,2011,11(2):2164-2172.
[12]桂海霞,蒋建国,张国富.面向并发多任务的重叠联盟效用分配策略[J].模式识别与人工智能,2016,29(4):332-340.
[13]刘常昱,冯芒,戴晓军,等.基于云X信息的逆向云新算法[J].系统仿真学报,2004,16(11):2417-2420.
[14] VOICE T,POLUKAROV M,JENNINGS N R. Coalition structure generation over graphs[J]. Journal of Artificial Intelligence Research,2012,45(1):165-196.
[15]田敬北,蒋建国,张国富,等.基于云概念语言的多任务模糊联盟形成[J].科学技术与工程,2014,14(26):249-254.
[16]马礼,郑纬民.信息网格环境下的综合信任度评价模型[J].清华大学学报(自然科学版),2009,49(4):599-603.
[17]夏登友,钱新明,康青春,等.基于云模型的应急决策方法[J].北京科技大学学报,2014,36(7):972-978.